School of Electrical and Electronic Engineering (EEE)

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3,551 to 3,560 of 3,850 Results

uniqueness (2).jpg Feb 28, 2020 - Replication Data for: A Low-power Reliability Enhanced Arbiter Physical Unclonable Function Based on Current Starved Multiplexers JPEG Image - 22.8 KB - MD5: 77126a933a11fbf5a6142e32e760c2ce
uniqueness.fig Feb 28, 2020 - Replication Data for: A Low-power Reliability Enhanced Arbiter Physical Unclonable Function Based on Current Starved Multiplexers MATLAB Figure - 27.5 KB - MD5: 9a75e350feef4ab0cdd1eba1d8cb6fa1
UP_128_0.5.tab Feb 28, 2020 - Replication Data for: A Low-power Reliability Enhanced Arbiter Physical Unclonable Function Based on Current Starved Multiplexers Tabular Data - 134.0 KB - 128 Variables, 268 Observations - UNF:6:ImOsntfOMHJhdh+ISdShiA==
UP_50_0.68.tab Feb 28, 2020 - Replication Data for: A Low-power Reliability Enhanced Arbiter Physical Unclonable Function Based on Current Starved Multiplexers Tabular Data - 25.2 KB - 50 Variables, 129 Observations - UNF:6:EL+MKldgYBxqVyowTq0b3g==
UPtry.tab Feb 28, 2020 - Replication Data for: A Low-power Reliability Enhanced Arbiter Physical Unclonable Function Based on Current Starved Multiplexers Tabular Data - 24.5 KB - 128 Variables, 49 Observations - UNF:6:McYqKK3mHv2Oi3aTM/IqfQ==
ZTC.tab Feb 28, 2020 - Replication Data for: A Low-power Reliability Enhanced Arbiter Physical Unclonable Function Based on Current Starved Multiplexers Tabular Data - 273 B - 8 Variables, 7 Observations - UNF:6:JhNNKeLXrjJsTHkRnMWmXg==
Replication Data for: Detecting Adversarial Examples for Deep Neural Networks via Layer Directed Discriminative Noise Injection Feb 28, 2020 - WANG Si Wang, Si, 2020, "Replication Data for: Detecting Adversarial Examples for Deep Neural Networks via Layer Directed Discriminative Noise Injection", https://doi.org/10.21979/N9/WCIL7X, DR-NTU (Data), V1 This dataset contains the program source code, model file and experimental data for analysis of the paper "Detecting Adversarial Examples for Deep Neural Networks via Layer Directed Discriminative Noise Injection"
AsianHOSTdata.tar.gz Feb 28, 2020 - Replication Data for: Detecting Adversarial Examples for Deep Neural Networks via Layer Directed Discriminative Noise Injection Gzip Archive - 1022.9 MB - MD5: de6cf304780bdf5cd3f5e7744d2bd987
source code.tar.gz Feb 28, 2020 - Replication Data for: Detecting Adversarial Examples for Deep Neural Networks via Layer Directed Discriminative Noise Injection Gzip Archive - 13.2 KB - MD5: b0f06825beb719deb87714d1ff18d6d4
Replication Data for: Fired Neuron Rate Based Decision Tree for Detection of Adversarial Examples in DNNs Feb 28, 2020 - WANG Si Wang, Si, 2020, "Replication Data for: Fired Neuron Rate Based Decision Tree for Detection of Adversarial Examples in DNNs", https://doi.org/10.21979/N9/YPY0EB, DR-NTU (Data), V1 This dataset contains model file, program source code and the experimental data for the analysis of the paper " Fired Neuron Rate Based Decision Tree for Detection of Adversarial Examples in DNNs".

uniqueness (2).jpg

Feb 28, 2020 - Replication Data for: A Low-power Reliability Enhanced Arbiter Physical Unclonable Function Based on Current Starved Multiplexers

JPEG Image - 22.8 KB -

uniqueness.fig

Feb 28, 2020 - Replication Data for: A Low-power Reliability Enhanced Arbiter Physical Unclonable Function Based on Current Starved Multiplexers

MATLAB Figure - 27.5 KB -

UP_128_0.5.tab

Feb 28, 2020 - Replication Data for: A Low-power Reliability Enhanced Arbiter Physical Unclonable Function Based on Current Starved Multiplexers

Tabular Data - 134.0 KB - 128 Variables, 268 Observations -

UP_50_0.68.tab

Feb 28, 2020 - Replication Data for: A Low-power Reliability Enhanced Arbiter Physical Unclonable Function Based on Current Starved Multiplexers

Tabular Data - 25.2 KB - 50 Variables, 129 Observations -

UPtry.tab

Feb 28, 2020 - Replication Data for: A Low-power Reliability Enhanced Arbiter Physical Unclonable Function Based on Current Starved Multiplexers

Tabular Data - 24.5 KB - 128 Variables, 49 Observations -

ZTC.tab

Feb 28, 2020 - Replication Data for: A Low-power Reliability Enhanced Arbiter Physical Unclonable Function Based on Current Starved Multiplexers

Tabular Data - 273 B - 8 Variables, 7 Observations -

Replication Data for: Detecting Adversarial Examples for Deep Neural Networks via Layer Directed Discriminative Noise Injection

Feb 28, 2020 - WANG Si

Wang, Si, 2020, "Replication Data for: Detecting Adversarial Examples for Deep Neural Networks via Layer Directed Discriminative Noise Injection", https://doi.org/10.21979/N9/WCIL7X, DR-NTU (Data), V1

This dataset contains the program source code, model file and experimental data for analysis of the paper "Detecting Adversarial Examples for Deep Neural Networks via Layer Directed Discriminative Noise Injection"

AsianHOSTdata.tar.gz

Feb 28, 2020 - Replication Data for: Detecting Adversarial Examples for Deep Neural Networks via Layer Directed Discriminative Noise Injection

Gzip Archive - 1022.9 MB -

source code.tar.gz

Feb 28, 2020 - Replication Data for: Detecting Adversarial Examples for Deep Neural Networks via Layer Directed Discriminative Noise Injection

Gzip Archive - 13.2 KB -

Replication Data for: Fired Neuron Rate Based Decision Tree for Detection of Adversarial Examples in DNNs

Feb 28, 2020 - WANG Si

Wang, Si, 2020, "Replication Data for: Fired Neuron Rate Based Decision Tree for Detection of Adversarial Examples in DNNs", https://doi.org/10.21979/N9/YPY0EB, DR-NTU (Data), V1

This dataset contains model file, program source code and the experimental data for the analysis of the paper " Fired Neuron Rate Based Decision Tree for Detection of Adversarial Examples in DNNs".

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